Abstract
This research applies a bibliometric analysis to the structural health monitoring (SHM) research field over a 15-year period, from 2003 to 2017. The goal of this research is to provide a broader analysis of the field as a whole through a data-driven approach with a bibliometric analysis of SHM literature. The aim of this work is to understand relationships between research themes and communities within the SHM field, and how this landscape has evolved over time. By employing graph theory and social network analysis methods, this study uses a data-driven analysis using a co-word and co-venue analysis based on publication data from over 21,000 conference and journal papers in SHM. Strategic diagrams and network analysis were used to map and visualize the academic landscape of SHM. Additionally, a co-venue analysis was performed to determine the conference and journal research communities within the field at each time segment. The analysis was conducted for three 5-year time periods providing insight on how the communities within the SHM research field have evolved.
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